Analysis of long non-coding RNA expression profiles in gastric cancer.

ABSTRACT:

Aim

To investigate the expression patterns of long non-coding RNAs (lncRNAs) in gastric cancer.

Methods

Two publicly available human exon arrays for gastric cancer and data for the corresponding normal tissue were downloaded from the Gene Expression Omnibus (GEO). We re-annotated the probes of the human exon arrays and retained the probes uniquely mapping to lncRNAs at the gene level. LncRNA expression profiles were generated by using robust multi-array average method in affymetrix power tools. The normalized data were then analyzed with a Bioconductor package linear models for microarray data and genes with adjusted P-values below 0.01 were considered differentially expressed. An independent data set was used to validate the results.

Results

With the computational pi

SUBMITTER: Cao WJ 

PROVIDER: S-EPMC3691033 | biostudies-literature | 2013 Jun

REPOSITORIES: biostudies-literature